基于AI赋能的数学建模教学研究

Research on Mathematical Modeling Teaching Based on AI

摘要: 在数字化与人工智能技术日新月异的当下，数学建模的传统教学模式在应对学生个体差异、提升课堂效能以及完善评价体系等方面，逐渐显现出一些不足。鉴于此，本文探讨了AI赋能的数学建模教学模式，通过个性化学习支持、丰富的教学资源、智能辅导与反馈以及模拟与预测功能等，打造出具有数据驱动的个性化教学体系。借助AI技术，不仅有望提高学习效率，更拓宽了学生的视野。数据驱动的个性化训练方案和多模态评价体系，为数学建模教学向精准化、互动化转型提供了一种可能的理论框架。

Abstract: With the rapid advancement of digitalization and artificial intelligence technologies, traditional mathematical modeling teaching models are gradually revealing shortcomings in addressing individual student differences, improving classroom effectiveness, and improving evaluation systems. Therefore, we explored AI-enabled mathematical modeling teaching models. Through personalized learning support, rich teaching resources, intelligent tutoring and feedback, and simulation and prediction capabilities, we have created a data-driven, personalized teaching system. Leveraging AI technology is expected to not only improve learning efficiency but also broaden students’ horizons. Data-driven personalized training programs and multimodal evaluation systems provide a theoretical framework for transforming mathematical modeling instruction toward precision and interactivity.